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Python Guides & Tutorials
Learn Python the right way — syntax, data structures, OOP, libraries, APIs and project ideas that build a hire-ready portfolio.
Python articles
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
Python Interview Questions: Top 50 with Answers
Fifty conceptual Python interview questions with short, precise answers, grouped by topic: basics, types and mutability, data structures, functions and scope, OOP, iterators and decorators, errors and files, and internals, with runnable examples for the ones people most often get wrong.
Python for Data Science: The Essential Libraries
The Python data science stack explained by the job each library does: NumPy for arrays, pandas for tables, Matplotlib and seaborn for charts, SciPy and statsmodels for statistics, scikit-learn for models and Jupyter for exploration, with one runnable example that passes a real dataset through them.
Python Projects for Beginners: 15 Ideas to Build
Fifteen beginner Python projects ordered as a ladder, where each one adds exactly one new idea, from a bill splitter to a habit tracker with tests. Every project has a 'done when' check and a stretch goal, and the starter code shown was run.
NumPy Guide: Arrays, Broadcasting and Vectorization
What vectorisation actually means in NumPy, the one broadcasting rule behind every shape error, and the three bugs it causes in real data code — silent wrong-axis maths, exploding intermediate arrays, and edits that leak through views.
Pandas Guide: DataFrames, Cleaning and Aggregation
One messy sales export, cleaned and summarised step by step with pandas: reading it with the right types, the values pandas silently turns into missing data, fixing text and number columns, removing duplicates, named aggregations with groupby, pivot tables that can hide gaps, and merges that check themselves.